{"id":"W166086198","doi":"10.1016/b978-0-12-404560-6.00005-8","title":"Potential of Management Practices and Amendments for Preventing Nutrient Deficiencies in Field Crops under Organic Cropping Systems","year":2012,"lang":"en","type":"book-chapter","venue":"Agricultural Sustainability","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thunder Bay Regional Research Institute; Agriculture and Agri-Food Canada","funders":"","keywords":"Agronomy; Environmental science; Green manure; Soil fertility; Compost; Nutrient; Cover crop; Crop residue; Cropping system; Nutrient management; Crop rotation; Soil organic matter; Crop yield; Crop; Soil water; Agriculture; Chemistry; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003443834,0.0002616801,0.0001409703,0.0003409046,0.0002510577,0.0006005129,0.0004990936,0.0003033899,0.001072442],"category_scores_gemma":[0.0002763578,0.00008284023,0.0002000388,0.0004414292,0.0002232514,0.0006067216,0.0002323188,0.0003569063,0.000131116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007789477,"about_ca_system_score_gemma":0.00117856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005217778,"about_ca_topic_score_gemma":0.02337915,"domain_scores_codex":[0.9998909,0.00002037839,0.000006562045,0.00002651079,0.00003969462,0.00001595594],"domain_scores_gemma":[0.9998897,0.00003445102,0.0000289392,0.000008042076,0.00002643117,0.0000123366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000312311,0.0008161935,0.005823198,0.001409379,0.00005579061,0.0002504579,0.0003529312,0.009822959,0.16759,0.006838745,0.002873264,0.8038547],"study_design_scores_gemma":[0.0002081274,0.005570109,0.1316231,0.001561664,0.0005019949,0.001054798,0.002794804,0.01983588,0.2720824,0.04142088,0.5231626,0.000183695],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8078285,0.05980839,0.02991546,0.004458862,0.0005116668,0.0003405083,0.0005595821,0.0002607359,0.09631626],"genre_scores_gemma":[0.8833002,0.02871011,0.05272657,0.0007139459,0.0001525947,0.0001756686,0.0003478521,0.00003641813,0.03383664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005217778,"threshold_uncertainty_score":0.01037484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01561785181679272,"score_gpt":0.235046019111608,"score_spread":0.2194281672948153,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}